globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015MS000539
Scopus记录号: 2-s2.0-84954305809
论文题名:
Simulation of subgrid orographic precipitation with an embedded 2-D cloud-resolving model
作者: Jung J; -H; , Arakawa A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期:1
起始页码: 31
结束页码: 40
语种: 英语
英文关键词: Topography ; Cloud resolving model ; Global atmospheric models ; Mean and standard deviations ; Mean precipitation ; Multi-scale Modeling ; Orographic precipitation ; Time-scales ; Two Dimensional (2 D) ; Precipitation (meteorology) ; atmospheric modeling ; benchmarking ; cloud ; orographic effect ; precipitation (climatology) ; statistical analysis ; timescale ; topography ; two-dimensional modeling ; wind
英文摘要: By explicitly resolving cloud-scale processes with embedded two-dimensional (2-D) cloud-resolving models (CRMs), superparameterized global atmospheric models have successfully simulated various atmospheric events over a wide range of time scales. Up to now, however, such models have not included the effects of topography on the CRM grid scale. We have used both 3-D and 2-D CRMs to simulate the effects of topography with prescribed "large-scale" winds. The 3-D CRM is used as a benchmark. The results show that the mean precipitation can be simulated reasonably well by using a 2-D representation of topography as long as the statistics of the topography such as the mean and standard deviation are closely represented. It is also shown that the use of a set of two perpendicular 2-D grids can significantly reduce the error due to a 2-D representation of topography. © 2015. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75933
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Department of Atmospheric Science, Colorado State University, Colorado, United States; Department of Atmospheric and Oceanic Sciences, UCLACA, United States

Recommended Citation:
Jung J,-H,, Arakawa A. Simulation of subgrid orographic precipitation with an embedded 2-D cloud-resolving model[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(1)
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